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Liam Huynh
Junior Software Engineer specializing in backend and full-stack development
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About
Backend Python engineer who owned an AI-driven healthcare staffing matching service, rebuilding the model inference/data pipeline to eliminate blocking bottlenecks and cutting API latency by ~33%. Experienced running Python services on Kubernetes with GitOps/ArgoCD, and has executed a cloud-to-on-prem rollout under tight resource and tooling constraints while also building event-driven streaming updates via a message broker.
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Key Strengths
- Reduced API response times by ~33% by rebuilding AI inference pipeline and optimizing DB queries
- Performance tuning under peak traffic (multithreading/async stages to remove blocking bottlenecks)
- Hardening ML data pipelines with strict validation and auto-sanitization to prevent crashes
- Kubernetes production operations with GitOps/ArgoCD (declarative deploys, drift control, easy rollbacks)
- Adapted cloud-native Python AI service to run on constrained on-prem hardware by removing cloud-specific dependencies
- Built real-time event processing via message broker with sequence checks and in-memory buffering to handle noisy/stale events
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